566 data-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation"-"Simons-Foundation" positions at Nanyang Technological University
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conducting in-depth literature reviews on topics such as social cohesion, religiosity, ethnicity, and nationalism, as well as carrying out multivariate analyses on cross-national data to assess social cohesion
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. Requirements: Essential Master’s degree or PhD in sciences or social sciences Experience with data collection (qualitative and quantitative) Excellent written and spoken English Has assisted or coauthored
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focused on the integration of non-conventional geothermal energy (EGS/AGS) into data centre cooling systems in Singapore, including geothermal-assisted cooling architectures, absorption chilling, heat pumps
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an emphasis on technology, data science and the humanities. We are seeking a motivated Research Associate to support a haematology image-analysis project, contributing to the development of machine-learning and
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technologies and systems, with strong communication, interpersonal, and problem-solving skills. Proficient in data management, MS Office, and able to quickly learn university IT systems. Personal Attributes: A
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groups, IAP meetings. Ensure accurate, timely data collection, analysis, reporting, and documentation to support accreditation reviews and curriculum improvement. Undergraduate Academic Operations Provide
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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, media, and digital services. Monitor communications performance through analytics and reporting, applying data-driven insights to inform strategy and continuous improvement. Lead and mentor the College
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application data and prepare admission reports Maintain admission records Assist in student billing matters Support Marketing and Recruitment Assist in data preparation for the graduate programmes’ marketing
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adolescents and other related inquiries. Requirements Essential A Master’s Degree in Learning Sciences, Education, Psychology, Data Science, Educational Neuroscience or a related field; Applicants with a PhD